Full-Stack Engineer from India. I build backend-heavy applications with a focus on serverless systems on AWS and AI/RAG pipelines.
Scalable backend systems and full-stack web applications — with a growing focus on serverless architectures, AWS infrastructure, and AI-powered retrieval pipelines. I care about clean APIs, solid system design, and building things that hold up in production.
- Learning Python and strengthening core backend engineering skills
- Building AI/RAG systems and serverless projects on AWS
- Working toward FastAPI and LLM-integrated services after building stronger fundamentals
ContextSpace — Multi-tenant serverless RAG platform
AWS Lambda SQS Aurora PostgreSQL + pgvector Amazon Bedrock MongoDB JWT
Implements metadata filtering, retrieval isolation, document status tracking, and RAG reliability patterns across isolated tenants.
Serverless Auction Platform — Event-driven auction system
AWS CDK Lambda API Gateway DynamoDB EventBridge SQS SES CloudWatch
Covers authentication, full bidding lifecycle, async notifications, and automated auction closing.
Languages: JavaScript, TypeScript
Currently Learning: Python
Frontend: React.js, Next.js
Mobile: React Native (familiar — built projects with it)
Backend: Node.js, Express.js
Databases: MongoDB, PostgreSQL
Cloud & Infra: AWS (Lambda, CDK, API Gateway, DynamoDB, SQS, EventBridge, Bedrock, Aurora, S3, EC2), Docker
Tools: Git
- Email: developernarayan12@gmail.com
- LinkedIn: linkedin.com/in/narayanmaaity
- X: @narayanCodesX
- GitHub: @nansmatty